With the recent renaissance of deep convolutional neural networks (CNNs), encouraging
breakthroughs have been achieved on the supervised recognition tasks, where each class …

Video indexing and retrieval have a wide spectrum of promising applications, motivating the
interest of researchers worldwide. This paper offers a tutorial and an overview of the …

Events are real-world occurrences that unfold over space and time. Event mining from
multimedia streams improves the access and reuse of large media collections, and it has …

We introduce the use of describable visual attributes for face verification and image search.
Describable visual attributes are labels that can be given to an image to describe its …

Microblogs have become an important source of information for the purpose of marketing,
intelligence, and reputation management. Streams of microblogs are of great value because …

Social image analysis and retrieval is important for helping people organize and access the
increasing amount of user tagged multimedia. Since user tagging is known to be …

In this paper, we review 300 references on video retrieval, indicating when text-only
solutions are unsatisfactory and showing the promising alternatives which are in majority …

We present results on a user independent fully automatic system for real time recognition of
facial actions from the facial action coding system (FACS). The system automatically detects …

In this paper we describe our TRECVID 2005 experiments. The UvA-MediaMill team
participated in four tasks. For the detection of camera work (runid: A CAM) we investigate the …

In this paper, we tackle the problem of retrieving videos using complex natural language
queries. Towards this goal, we first parse the sentential descriptions into a semantic graph …